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Conjunto de datos Linked To Publication

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  • Dataset

    Por Department of Research and Chief Economist (VPS/RES/RES)
    Macro bilateral trade data. This dataset was created to support Trade Intensity and Business Cycle Synchronization.
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  • Dataset

    Por Health, Nutrition and Population Division (VPS/SCL/HNP)
    The Technical Note "Setting Targets for Results-Based Financing Programs: A Simple Cost Benefit Framework" is accompanied by this Excel tool for the calculation of targets according to the simple framework presented. As an example, the case of El Salvador from the Salud Mesoamerica 2015 initiative is used in the file. The sources of information for this particular example were the latest available at the time of the exercise.
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  • Dataset

    Por Department of Research and Chief Economist (VPS/RES/RES)
    Database from the Research Department on Social Exclusion and Experiments in Six Cities of Latin America
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  • Dataset

    Por Migration Unit (VPS/SCL/MIG)
    This dataset is the result of an experiment conducted in nine countries in Latin America and the Caribbean and published as the book "A Better World for Migrants in Latin America and the Caribbean". This project is joint work between the IDB and UNDP. The databases contain data collected for the impact evaluation of an intervention designed to explore which mechanisms are more effective in changing people's beliefs and attitudes toward migrants. The experiment was conducted in nine countries in Latin America and the Caribbean and consisted of two video interventions. The first video, the informative video, aimed to correct misinformation about the impact of migration by providing accurate information about the size of the migrant population and its characteristics. The second video, an emotive video, intended to appeal to the emotions and empathy of the local population.
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  • Dataset

    Por Fiscal Management Division (VPS/IFD/FMM)
    The database allows estimating structural fiscal balances for 20 countries in the region under different assumptions regarding the output gap and commodity structural prices. It is a unique database of its kind since: 1) It takes into consideration the distinct responsiveness of different types of revenues to changes in the output gap: In order to adjust for the impact of the business cycle on revenues, we calculate individual elasticities for each source of revenue (i.e. direct taxes, indirect taxes, revenues from non-renewable resources, etc.). Since the different types of revenues in the region have different sensitivities to changes in the output gap, this disaggregated approach allows for a more fine-tuned adjustment. 2) It includes estimations of SFBs based on output gaps projections available in real time. In addition to giving estimations of the actual SFBs, we provide with estimations of the SFBs that would have resulted should the projections on output gaps available to...
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